Top Skills needed for a job in IoT

As IoT keeps becoming more ubiquitous, so does the spending on IoT technologies, solutions, and apps constantly rise. Some estimates say that by 2020 B2B spending in this sector will reach $267B globally. Of course, this expanse will lead to new job openings for candidates with very specific IoT-related skills. So if you want to ride the wave of IoT as oposed to being drown by it, you might look into some of these skills:

1. Machine Learning

Machine are naturally the focus of all of IoT. And to run a successful IoT enabled business a company will need experts skilled in machine learning; individuals capable of building in algorithms that allow AI-driven systems to change when presented with new data.

Seeing how data is the new oil mid- to large enterprise businesses need experts skilled in extracting that data and crafting algorithms that help deliver insights and analytics from the overwhelming data sets. Because of that, machine learning has experienced a 220% increase in demand over the past year and holds steady as the most in-demand IoT skill.

2. Cybersecurity

Recently whenever we hear about IoT there is another term attached to it – Security. Or lack there of.

As mid- and large enterprise companies develop and produce more vulnerable, connected devices, the threat of cyber attacks on IoT devices rises. Companies, regardless of size, want to ensure their IoT devices and stores of sensitive IoT data are secure. To do so, they are looking to hire tech professionals with experience in security infrastructure and security engineering.

3. AutoCAD

Its not only important to have a functional and secure IoT. For many customers design also plays an important role. That is whys AutoCAD, design software for engineering applications that allows for late-stage design changes in various product development processes, is becoming an important asset. AutoCAD software is widely used in the design of IoT devices, including in the like personalization and hardware standardization process.

4. Cloud

IoT is all about the Cloud. But the truth is most small to mid-size companies don’t have the server capability that IoT devices require to store the data they generate, and even some large organizations choose a partial cloud model to offset their server usage. Instead, these businesses are looking for professionals with experience in the top cloud-based solutions available, like AWS or Azure, in order to have enough processing power to analyze the data and derive insights.

5. NoSQL

Adaptable NoSQL databases are also crucial to the integration of IoT data into back-end infrastructures. A NoSQL (originally referring to “non SQL”, “non relational” or “not only SQL”) database provides a mechanism for storage and retrieval of data which is modeled in means other than the tabular relations used in relational databases. Because of the popularity of NoSQL in IoT solutions, we have seen high demand for those skills.

6. Data Visualization

Effective visualization of the data collected by IoT devices is instrumental in uncovering hidden insights and accurately presenting the wealth of data collected. Along with NoSQL and cloud skills, data visualization skills are in top demand for data-driven roles focusing on IoT.

For small to mid-size businesses, demand for Tableau Software expertise is also rising as these companies look to implement more effective data visualization of their IoT data with an affordable and UX-friendly solution. This technology allows data-driven experts to more clearly see and understand the data most valuable to their specific business functions. It also provides the ability to dig deeper into this data with the accompanying BI (business intelligence) functionality. As such, we’ve seen a rise in demand from small to mid-size companies for advanced expertise in Tableau.

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